Prof. Dr. Xiaojun Liu | Digital Twin | Best Researcher Award

Professor at Southeast University, China

Professor Xiaojun Liu is a leading expert in the field of digital twin and high-performance assembly. He is a Professor and Ph.D. Supervisor at the School of Mechanical Engineering, Southeast University, where he also serves as Vice Dean. With over 50 published journal papers, 1,100+ citations, 50 patents, and significant contributions to national standards and industrial practices, Prof. Liu is recognized as a driving force behind intelligent assembly solutions for aerospace and other high-tech industries.

Publication Profile

Scopus

Educational Background

Ph.D. in Mechanical Engineering or related field
(presumed based on position and publication record)

Professional Experience

Vice Dean, School of Mechanical Engineering, Southeast University
Professor and PhD Supervisor, Southeast University
Director, Engineering Research Center for Advanced Light Source Technology and Equipment (Ministry of Education)
Deputy Director, Jiangsu Provincial Innovation Center for High-end CNC Machine Tools
Deputy Director, Digital Twin Professional Committee, Chinese Society for Geometric Graphics
Chair, Award Committee, Digital Twin International Conference (2022–2024)
Conference Chair, 6th Academic Conference on Digital Twin and Intelligent Manufacturing Services

Research Interests

Digital Twin Systems
High-Performance Assembly Processes
Human-Robot Collaboration in Industry 5.0
Process Monitoring and Adaptive Control
Application of AI and LLMs in Manufacturing Systems

Awards and Honors

National Science and Technology Progress Award
Multiple Provincial-Level Science and Technology Awards
Chaired and participated in numerous national-level research grants, including:
- National Key R&D Programs (e.g., 2023YFE0198600, 2020YFB1708400)
- NSFC-funded projects (e.g., U24B2064, U22A20201)
Editorial Board Member, Digital Engineering
International Advisory Committee Member, Digital Twin

Conclusion

Professor Xiaojun Liu stands out as a pioneer in integrating digital twin technology with high-precision assembly systems. His academic contributions, leadership in national research initiatives, and influential roles in professional organizations make him a distinguished candidate for the Best Researcher Award. His work has bridged theoretical innovation and industrial application, making substantial impacts in aerospace, CNC machinery, and intelligent manufacturing.

Publications

An LLM-guided SD-LDM Digital Twin Construction Strategy (LSDT) for multi-industrial scenarios: Enhancing adaptability and efficiency
F. Wang, X. Liu, F. Lv, X. Zheng, C. Li
Journal of Manufacturing Systems, 2025
Citations: 0
A generic digital twin model construction strategy for cross-field implementations with comprehensiveness, operability and scalability
X. Liu, C. Wang, F. Wang, F. Feng, Y. Sun
Journal of Manufacturing Systems, 2025
Citations: 0
Modeling and Optimization of Cable Production Scheduling by Incorporating an Ant Colony Algorithm
C. Zhu, C. Wang, Z. Ni, X. Liu, A. Raza
Mathematics, 2025
Open Access
Citations: 0
Knowledge-driven assembly process reconfiguration method for aerospace complex products
J. Feng, N. He, J. Liu, J. Shi, X. Liu
CIMS, 2024
Citations: 0
Prediction and optimization method for welding quality of components in ship construction
J. Liu, Y. Cheng, X. Jing, X. Liu, Y. Chen
Scientific Reports, 2024
Open Access
Citations: 2
Cloud-edge-device System architecture and key technologies of industrial digital twin System based on multi-agent
H. Li, Z. Xing, L. Li, L. Dong, Z. Wang
CIMS, 2024
Citations: 1
Uphill directional passive transport of water droplets on axisymmetric surfaces
J. Mo, H. Huang, C. Wang, Z. Li, X. Liu
Physics of Fluids, 2024
Citations: 0
Digital twin model-driven capacity evaluation and scheduling optimization for ship welding production line
J. Liu, Q. Ji, X. Zhang, X. Liu, M. Tang
Journal of Intelligent Manufacturing, 2024
Citations: 10
Human-robot collaborative disassembly in Industry 5.0: A systematic literature review and future research agenda
G. Yuan, X. Liu, X. Qiu, D.T. Pham, M. Su
Citations: 1
Digital twins enable shipbuilding
J. Liu, Y. Zhang, Z. Liu, S. Gu, X. Liu
Open Access
Citations: 1

Xiaojun Liu | Digital Twin | Best Researcher Award